Large Language Models for Qualitative Research in Software Engineering: Exploring Opportunities and Challenges

Author:

Bano Muneera1,Hoda Rashina2,Zowghi Didar1,Treude Christoph3

Affiliation:

1. CSIRO's Data61

2. Monash University

3. University of Melbourne

Abstract

Abstract The recent surge in the integration of Large Language Models (LLMs) like ChatGPT into qualitative research in software engineering, much like in other professional domains, demands a closer inspection. This vision paper seeks to explore the opportunities of using LLMs in qualitative research to address many of its legacy challenges as well as potential new concerns and pitfalls arising from the use of LLMs. We share our vision for the evolving role of the qualitative researcher in the age of LLMs and contemplate how they may utilize LLMs at various stages of their research experience.

Publisher

Research Square Platform LLC

Reference25 articles.

1. Alkaissi, H., Samy, I.M.F.: 'Artificial hallucinations in ChatGPT: implications in scientific writing', Cureus, 15. (2023)

2. Arora, C., John Grundy, and, Abdelrazek, M.: 'Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs', arXiv preprint arXiv:2310.13976. (2023)

3. 'The Role of Artificial Intelligence in Academic Paper Writing and Its Potential as a Co-Author';Balel Y;Eur. J. Ther.,2023

4. Bano, M., Zowghi, D.: and Jon Whittle. 'Exploring Qualitative Research Using LLMs', arXiv preprint arXiv:2306.13298. (2023)

5. Bender, E.M., Timnit Gebru, A., McMillan-Major: and Shmargaret Shmitchell. "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big??" In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, 610 – 23. (2021)

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